code: def test_glm_constrained():
      test_glm(constraints="m1 + unemp = 1")
  
imports: import os
  import numpy
  from numpy.testing import assert_allclose, assert_equal, assert_raises
  import pandas
  import pytest
  from scipy.stats import norm
  from statsmodels.datasets import macrodata
  from statsmodels.genmod.api import GLM
  from statsmodels.regression.linear_model import OLS
  from statsmodels.regression.recursive_ls import RecursiveLS
  from statsmodels.stats.diagnostic import recursive_olsresiduals
  from statsmodels.tools import add_constant
  from statsmodels.tools.eval_measures import aic, bic
  from statsmodels.tools.sm_exceptions import ValueWarning
label_desc: Use image node_id 4 for calling a global function with example usage: test_glm_constrained() without return types